implementing-vulnerability-management-with-greenbone — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited implementing-vulnerability-management-with-greenbone (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Greenbone Vulnerability Management (GVM) is the open-source framework behind OpenVAS, providing comprehensive vulnerability scanning with over 100,000 Network Vulnerability Tests (NVTs). The python-gvm library provides a Python API to interact with GVM through the Greenbone Management Protocol (GMP), enabling programmatic creation of scan targets, task management, scan execution, and report retrieval. This skill covers connecting to GVM via Unix socket or TLS, authenticating, creating scan configs and targets, launching scans, and parsing XML-based vulnerability reports to produce actionable findings.
python-gvm (pip install python-gvm)pip install python-gvmUnixSocketConnection or TLSConnectiongmp.authenticate(username, password)gmp.create_target(name, hosts=[...], port_list_id=...)gmp.create_task(name, config_id, target_id, scanner_id)gmp.start_task(task_id)gmp.get_task(task_id)gmp.get_report(report_id, report_format_id=...)A JSON report containing total vulnerabilities found, severity breakdown (critical/high/medium/low), per-host findings with CVE references and CVSS scores, and scan metadata including duration and NVT feed version.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.